As AI adoption accelerates across industries, so do the security, compliance, and governance challenges surrounding it. Recognizing this, PlainID, a global leader in Enterprise Authorization and Identity Security, has launched Policy Management for Agentic AI — a solution designed to bring identity-aware, policy-based access control to the next generation of AI systems. The offering delivers a security framework built on Zero Trust principles, helping enterprises manage AI-driven workflows securely and in compliance with regulations.
From PII to intellectual property, the AI systems that organizations rely on are ingesting high-risk data at scale. Without proper access control, companies are vulnerable to data leaks, compliance breaches, and reputational risks. PlainID addresses these risks head-on by embedding fine-grained policy enforcement into AI agents and their interactions.
Challenges in AI Adoption
Organizations face major roadblocks as they attempt to scale AI:
- Data Exposure Risks: Sensitive and regulated data may be misused or leaked through AI interactions.
- Compliance Violations: AI systems can unintentionally breach regulatory requirements if not properly governed.
- Lack of Auditability: It’s often difficult to trace AI decisions or validate who accessed what data and why.
- Governance Bottlenecks: Misalignment between engineering and security teams can delay AI deployment.
PlainID’s solution removes these bottlenecks while ensuring security does not slow down innovation.
Key Capabilities of Policy Management for Agentic AI
1. Identity-Aware Access Control
- Enforces access rights based on the identity of both human users and Non-Human Identities (NHIs), such as AI agents and bots.
2. Dynamic, Fine-Grained Policies
- Adapts to various AI-driven use cases with precision controls over data access, processing, and action execution.
3. Centralized Policy Management
- Offers a unified console for managing and standardizing all policies, ensuring consistent governance across platforms.
4. Seamless Integration
- Easily integrates with leading AI platforms and orchestration tools, ensuring minimal disruption and broad compatibility.
5. Zero Trust Alignment
- Aligns with enterprise Zero Trust and identity-first security strategies, embedding security directly into the design of AI workflows.
6. Full Auditability and Transparency
- Delivers complete visibility into AI actions, decision-making chains, and access logs to support compliance and accountability.
Executive Insight
“As enterprises accelerate AI initiatives, PlainID empowers teams to govern AI data and decisions without compromising innovation,” said Gal Helemski, Chief Product Officer and Co-Founder of PlainID. “Through policy management and access enforcement, we ensure every AI interaction is secure, compliant, and policy-aware.”
This solution represents a significant evolution in AI security, allowing enterprises to implement guardrails that protect data while keeping development teams agile and aligned with compliance goals.
Learn More
Policy Management for Agentic AI is now available and designed to support enterprise-scale AI deployments.
To explore how PlainID secures data and decisions in AI environments, visit: https://www.plainid.com/llm-genai-security/
PlainID’s Policy Management for Agentic AI is a timely innovation that helps organizations confidently scale their AI operations without compromising security. By embedding identity-first access control and centralizing policy governance, PlainID provides a critical foundation for trustworthy, compliant, and secure AI systems.
